Dear R friends
A while a go I sent an email to the epi-list and later to the help-list and
no answer could fully illuminate my question. So Im trying again with a more
specific matter.
Im trying to work on a script (function) to analyse data from a diagnostic
test meta-analysis with random effects. This was first described by an
author using SAS witn PROC NLMIXED.
Im not an expert in R and much worst in SAS.
So my obstacle right now how to translate this syntax, specially to choose
the correct function in R that better fit this SAS syntax with PROC NLMIXED.
nlme or lme4? or they both would work well?
Original SAS syntax (if it makes any difference?).....
proc mixed data=bi_meta method=reml cl ; /* option cl will give confidence
intervals */
class study_id modality;
model logit dis*modality non_dis*modality / noint cl df=1000, 1000, 1000,
1000, 1000, 1000;
random dis non_dis / subject=study_id type=un ;
repeated / group=rec;
parms / parmsdata=cov hold=4 to 91;
Best regards to all,
Pedro Emmanuel Brasil
Chagas disease clinical research laboratory
IPEC-FIOCRUZ
Rio de Janeiro - Brasil
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